Automated RSSI-Based Tracking Sensor Deployment Using Electromagnetic Simulation

Document Type

Conference Proceeding

Publication Date

12-5-2017

Publication Title

Seoul International Conference on Applied Science and Engineering

Abstract

With the recent technological advancement and its wide application in the construction industry, there has been a series of studies on the applicability of wireless sensing technology as a means of tracking. The localization of construction resources and potential applications using location information has been a major area of interests, which resulted in the development of various tracking systems for the automated monitoring of construction sites. Among several monitoring technologies, Bluetooth low-energy (BLE) technology has recently gained popularity and is now one of the most promising solutions to tracking; it can track workers’ locations and provide site information even in a complex environment such as construction sites. Since the BLE system identifies worker’s traffic line based on radio-signal-strength-indication (RSSI), minimizing unnecessary signal power loss is the key to the effective utilization of sensory resources. This study proposes a methodology to devise an optimized sensor layout of a BLE tracking system by offering minimum signal power loss during tracking. For the numerical validation, the EM energy flow from optimized sensor deployment and random sensor deployment are compared through electromagnetic simulation using the high-frequency structural simulator (HFSS). The comparison results in the case study showed that the proposed methodology is 25.68% more efficient for the sensor deployment based on the reduction in signal power loss. Hence, the effective utilization of signals significantly improves the performance of the BLE tracking system.

Keywords

Electromagnetic simulation, Indoor localization, Optimization, Sensor deployment, Tracking

Language

eng


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